Buscador de Revistas

Journal of Scientific Computing is an international interdisciplinary forum for the publication of papers on state-of-the-art developments in scientific computing and its applications in science and engineering.

The journal publishes high-quality, peer-reviewed original papers, review papers and short communications on scientific computing.

Since 1960, IUPAC has made available to chemists everywhere a large amount of important chemical information published in the journal .

The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to:• Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution• Agile, model-driven, service-oriented, open source and global software development• Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems• Human factors and management concerns of software development• Data management and big data issues of software systems• Metrics and evaluation, data mining of software development resources• Business and economic aspects of software development processesThe journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.Controversy cornerThe goal of the Controversy corner is both to present information and to stimulate thought and discussion. Topics chosen for this coverage are not just traditional formal discussions of research work; they also contain ideas at the fringes of the field's "conventional wisdom".Articles in this category will succeed only to the extent that they stimulate not just thought, but action.

The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.The Journal of Web Semantics addresses various prominent application areas including: e-business, e-community, knowledge management, e-learning, digital libraries and e-sciences.The Journal of Web Semantics features a multi-purpose web site, which can be found at: http://www.semanticwebjournal.org/. Readers are also encouraged to visit the Journal of Web Semantics blog, at http://journalofwebsemantics.blogspot.com/ for more information and related links.The Journal of Web Semantics includes, but is not limited to, the following major technology areas:• The Semantic Web• Knowledge Technologies• Ontology• Agents• Databases• Semantic Grid and Peer-to-Peer Technology• Information Retrieval• Language Technology• Human-Computer Interaction• Knowledge Discovery• Web StandardsMajor application areas that are covered by the Journal of Web Semantics are:• eBusiness• eCommunity• Knowledge Management• eLearning• Digital Libraries• eScienceEach of these areas is covered by an area editor who supports the editors-in-chief. Furthermore, area editors manage the review process for submitted papers in the respective areas.The Journal of Web Semantics publishes four types of papers:• Research papers: Research papers are judged by originality, technical depth and correctness, as well as interest to our target readership. Research papers are recommended to have 15 - 25 pages in double column format.• Survey papers: We rarely accept survey papers, and beyond a sheer enumeration of relevant methods and systems, we expect a substantial technical insight to be gained by a survey paper. Survey papers are recommended to have 15 - 25 pages in double column format. • Ontology papers: We publish community-oriented description of ontology papers, if they generate interests from real-world users and semantic Web experts. Ontology papers are recommended to have 6 - 8 pages in double column format. Interested authors may here find a detailed Call-for-Ontology papers• System papers: Widely adopted semantic systems and systems that generate a far above average amount of interest in the Semantic Web community, may be explained in systems papers. Systems papers are recommended to have 6 - 8 pages in double column format.Shorter or longer papers are allowable, if the objectives of a paper warrant deviating length. Descriptions that are either unnecessarily short or long will negatively impact chances of acceptance.

The Journal of the ACM (JACM) provides coverage of the most significant work going on in computer science, broadly construed. It is a peer-reviewed journal, published six times a year by ACM.We publish original research papers of lasting value in computer science. To be accepted, a paper must be judged to be truly outstanding in its field and to be of interest to a wide audience. We are particularly interested in work at the boundaries, both the boundaries of subdisciplines of computer science and the boundaries between computer science and other fields.

Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This bi-monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership. The journal focuses on knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies. We solicit submissions of original research, and experience and vision papers that address this theme. Suggested topics include, but are not limited to, the following areas: Knowledge and information processing: theory, techniques and systems knowledge and data engineering decision support active and dynamic systems data sharing and warehousing temporal and spatial database processing intelligent information retrieval learning and adaptation knowledge discovery and data mining artificial life modelling and object orientation software re-engineering co-operativeness, interoperability and software re-usability human-computer interaction hypertext, hypermedia and multimedia data and knowledge visualization Underlying computational techniques soft computing (including neural nets, fuzzy logic, probabilistic reasoning, and rough set theory) evolutionary computing hybrid computing uncertainty management agent architectures and systems (including multi-agent scenarios) Platforms high performance comp, uting systems distributed intelligent systems mobile systems Application to specific problem domains biomedical systems geographical systems software information systems emerging applications (such as Internet technologies and digital libraries) We publish critical review papers to discuss the state of the art in particular areas, as well as state-of-the-art research reports. Accepted papers are grouped for publication so that individual issues focus on a small number of theme areas. In addition to archival papers, the journal also publishes significant on-going research in the form of Short Papers (limited to 3000 words), and very short papers on 'visions and directions' (no more than 1000 words, excluding bibliography). We conduct reviews in a timely fashion and inform authors of decisions with a target turnaround time of 3 months. Selected papers from relevant conferences are welcome. Good papers with high quality reviews can be accepted after the expansion and revision is verified by an Associate Editor of the Editorial Board. Conference organizers are invited to contact the Editor-in-Chief kais@cs.uvm.edu for further information.

Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

This journal's current leading topics are but not limited to:

• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition
• Cognitive interaction and intelligent human interfaces
• Recommender systems and E-service personalization
• Intelligent decision support systems, prediction systems and warning systems
• Computational and artificial intelligence based systems and uncertain information processes
• Swarm intelligence and evolutionary computing
• Knowledge engineering, machine learning-based systems and web semantics

The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

To further the state of the art, Knowledge Based Systems now also reviews and publishes software and code through its new http://www.elsevier.com/about/content-innovation/original-software-publicationsOriginal Software Publication format to disseminate these important born digital knowledge elements.

Benefits to authors
We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our http://www.elsevier.com/wps/find/authorsview.authors/authorservicesauthor services.

Please see our http://www.elsevier.com/wps/find/journaldescription.cws_home/525448/authorinstructionsGuide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted. All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.

Machine Translation publishes original research papers on all aspects of MT, including (but not restricted to): - Statistical MT - Example-Based MT - Rule-Based MT - Hybrid MT - Spoken Language Translation - Discriminative MT - Evaluation in MT - MT Applications - Computer-Assisted Translation - Multilingual Corpus Resources - Tools for translators - The role of technology in translator training - MT and language teaching In addition, Machine Translation welcomes papers with a multilingual aspect from other areas of Computational Linguistics and Language Engineering, including: - text composition and generation - information retrieval - natural language interfaces - dialogue systems - message understanding systems - discourse phenomena - text mining - knowledge engineering - contrastive linguistics - morphology, syntax, semantics, pragmatics - computer-aided language instruction and learning - software localization and internationalization Machine Translation regularly focuses on issues of special interest, features a regular Book Review section, and welcomes other contributions of interest to the wide readership of the journal.

Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.

This journal is jointly sponsored by Gesellschaft fuer Operations Research (The German OR Society) and the Nederlands Genootschap voor Besliskunde (The Dutch OR Society). It features contributions to mathematics, statistics, and computer science that have special relevance to operations research. The journal publishes theoretical and applied papers with substantial mathematical interest in the areas of mathematical programming, continuous and discrete and combinatorial optimization, stochastic models, Markov decision processes and stochastic programming, dynamic programming, control theory, game theory, graphs and networks, queueing systems, inventory and reliability. The journal also covers mathematical methods and applications in economics, business administration, finance, and engineering. In addition, Mathematical Methods of Operations Research includes a special section devoted to review papers on mathematical methods and models in interesting fields of operations research and related optimization theory

This is the official journal of the Mathematical Optimization Society. It publishes original articles dealing with every aspect of mathematical programming: everything of direct or indirect use concerning the problem of optimizing a function of many variables, often subject to a set of constraints. This involves theoretical and computational issues as well as application studies. Mathematical Programming consists of two series: Series A publishes original research articles, expositions and surveys, and reports on computational experimentation and new or innovative practical applications as well as short communications dealing with the above. Each issue of Series B focuses on a single subject, selected to respond to the current interests of the mathematical programming community and has one or more guest-editors, who need not be members of the editorial board. An issue may be a collection of original articles, a single research monograph or a selection of papers from an appropriate conference.